• DocumentCode
    2509760
  • Title

    Semiautomatic frame-to-frame tracking of the luminal border from intravascular ultrasound

  • Author

    Wenguang, L. ; Bosch, J.G. ; Zhong, Y. ; Gussenhoven, W.J. ; Rijsterborgh, H. ; Reiber, J.H.C. ; Bom, N.

  • Author_Institution
    Thoraxcenter, Erasmus Univ., Rotterdam, Netherlands
  • fYear
    1991
  • fDate
    23-26 Sep 1991
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    The authors describe a template-matching method which allows the measurement of the frame-to-frame changes in the luminal cross-sectional area from intravascular ultrasound images through the analysis of the regional wall displacement. The matching is performed by calculating a cross-correlation coefficient between the template and the test data. The optimal matching is determined using the minimum-cost algorithm. Comparison of the results from the template-matching method and those from manual tracing showed that the mean difference in the measure of the area change was very small. The beat-to-beat variations evaluated with data from the method were lower than with manual tracing. It is concluded that this method can be applied to wall compliance studies using intravascular ultrasound
  • Keywords
    acoustic imaging; biomedical ultrasonics; computerised picture processing; medical diagnostic computing; cross-correlation coefficient; intravascular ultrasound; luminal border; manual tracing; medical diagnostic imaging; minimum-cost algorithm; regional wall displacement; semiautomatic frame-to-frame tracking; template-matching method; wall compliance studies; Area measurement; Arteries; Backscatter; Blood pressure; Data mining; Image analysis; Optimal matching; Radiology; Ultrasonic imaging; Ultrasonic variables measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1991, Proceedings.
  • Conference_Location
    Venice
  • Print_ISBN
    0-8186-2485-X
  • Type

    conf

  • DOI
    10.1109/CIC.1991.169118
  • Filename
    169118